Automated Traffic Sign Recognition Using Computer Vision and Deep Learning

The primary goal of this research is creating a sample traffic data inventory in Washington (WA), from both freeways and local streets, and developing a pipeline of automated traffic sign data collection and identification based on open street images as data sources and vision-based deep learning identification methods.

Language

• English

Project

• Status: Active
• Funding: $100000
• Sponsor Organizations:

  Washington State Department of Transportation

  Research Office
  P.O. Box 47372
  Olympia, WA  United States  98504
• Managing Organizations:

  University of Washington, Seattle

  Washington State Transportation Center
  1107 NE 45th Street
  Seattle, WA  United States  98105
• Project Managers:

  Brodin, Doug

• Performing Organizations:

  University of Washington, Seattle

  Civil and Environmental Engineering Department
  201 More Hall, Box 352700
  Seattle, WA  United States  98195-2700
• Principal Investigators:

  Wang, Yinhai

• Start Date: 20221216
• Expected Completion Date: 20240315
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Data collection; Machine vision; Traffic signs
• Geographic Terms: Washington (State)
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01868900
• Record Type: Research project
• Source Agency: Washington State Department of Transportation
• Files: RIP, STATEDOT
• Created Date: Dec 28 2022 4:19PM